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healthyR.ts vs singlercapture

A side-by-side editorial comparison of healthyR.ts and singlercapture — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r package

healthyR.ts vs singlercapture: at a glance

FeaturehealthyR.tssinglercapture
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themestime series, healthyverse, stationarity, ggplot2capture-recapture, population estimation, zero-truncated models, bootstrap
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is healthyR.ts?

healthyR.ts keeps adding time-series helpers, then quietly breaks the old ones to modernise them.

A time-series companion in the healthyverse family, shipping helper functions in batches: growth-rate vectors, an ADF test and auto_stationarize() in 0.2.11, then five log and differencing transforms in 0.3.0, and a random-walk plot in 0.3.2. Alongside the additions runs a steady stream of breaking cleanups — invisible returns dropped, R 4.1 required for the native pipe, and ts_ma_plot() refactored onto ggplot2 facets with its xts output removed and its return value cut from six items to two.

Read the full healthyR.ts trajectory →

What is singlercapture?

singleRcapture reached 1.0.0 with no release notes at all — the arc has to be read backwards.

A package for single-source capture-recapture population size estimation: zero-truncated Poisson, geometric and negative binomial regression, Chao and Zelterman mixture models, analytic and bootstrap variance estimation, all behind estimatePopsize(). The 0.2.x line professionalised it — an offset argument, parallel bootstrap and dfbeta, faster semiparametric sampling, a singleRStaticCountData subclass explicitly created so a companion package could fit models from countreg and VGAM, then interaction-term and anova fixes. The 1.0.0 release carries nothing but a link to the compare view.

Read the full singlercapture trajectory →

healthyR.ts vs singlercapture: editorial side-by-side

H
healthyR.ts
ANALYTICS
0.0

healthyR.ts keeps adding time-series helpers, then quietly breaks the old ones to modernise them.

◆ Current state

A time-series companion in the healthyverse family, shipping helper functions in batches: growth-rate vectors, an ADF test and auto_stationarize() in 0.2.11, then five log and differencing transforms in 0.3.0, and a random-walk plot in 0.3.2. Alongside the additions runs a steady stream of breaking cleanups — invisible returns dropped, R 4.1 required for the native pipe, and ts_ma_plot() refactored onto ggplot2 facets with its xts output removed and its return value cut from six items to two.

◆ Where it's heading

Two threads, both consistent. The functional one is coverage of the stationarity workflow — transform, test, auto-stationarize, plot — assembled function by function rather than as a single API. The structural one is convergence on ggplot2 and tidy conventions, retiring xts objects and multi-object return lists as it goes. The package is not afraid to break return shapes to get there, so upgrades are not drop-in.

◆ Prediction

Expect the remaining functions that still return xts objects or bundled lists to get the same ggplot2-only treatment, since ts_ma_plot() was refactored on exactly that rationale.

S0.0

singleRcapture reached 1.0.0 with no release notes at all — the arc has to be read backwards.

◆ Current state

A package for single-source capture-recapture population size estimation: zero-truncated Poisson, geometric and negative binomial regression, Chao and Zelterman mixture models, analytic and bootstrap variance estimation, all behind estimatePopsize(). The 0.2.x line professionalised it — an offset argument, parallel bootstrap and dfbeta, faster semiparametric sampling, a singleRStaticCountData subclass explicitly created so a companion package could fit models from countreg and VGAM, then interaction-term and anova fixes. The 1.0.0 release carries nothing but a link to the compare view.

◆ Where it's heading

The direction visible in 0.2.x is outward: refactoring for maintainability, extending to models fitted elsewhere via a subclass, adding a JSS-paper vignette, and pushing coverage towards 90%. That is a package preparing to be cited and extended rather than one still finding its methods. The 1.0.0 tag presumably marks the end of that stabilisation, but the entry itself gives no evidence either way.

◆ Prediction

Not readable from this feed — the 1.0.0 notes are empty, so whether the major version marks an API freeze or a breaking change cannot be determined from the entries shown.

Alternatives to healthyR.ts and singlercapture

Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either healthyR.ts or singlercapture.

See all healthyR.ts alternatives → · See all singlercapture alternatives →

Recent activity from healthyR.ts and singlercapture

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 6mo agohealthyR.tsRandom walk plot added; ts_ma_plot drops xts for ggplot2 facets
  2. 6mo agosinglercapturesingleRcapture 1.0.0
  3. 1y agosinglercaptureanova and other broken methods fixed
  4. 1y agosinglercaptureInteraction terms fixed; logLik returns gradients and hessians
  5. 1y agohealthyR.tsInvisible returns dropped; random walk and vva plot fixes
  6. 2y agohealthyR.tsFive log and differencing transform utilities added
  7. 2y agohealthyR.tsStationarity testing and auto_stationarize added
  8. 2y agosinglercaptureSubclass opens population estimation to countreg and VGAM fits
  9. 2y agohealthyR.tsSingle example fix
  10. 3y agohealthyR.tsBoilerplate fitting uses show_best directly
  11. 4y agosinglercaptureFirst usable release: zero-truncated and mixture estimators

Frequently asked questions

What is the difference between healthyR.ts and singlercapture?

Both compete on the same themes — r package — within Analytics. healthyR.ts and singlercapture are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is healthyR.ts better than singlercapture?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. healthyR.ts and singlercapture are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to healthyR.ts?

Top healthyR.ts alternatives in Analytics are ranked by recent ship velocity. Browse the "healthyR.ts alternatives" section above for the current picks, or visit /alternatives/healthyr-ts for the full list with editorial commentary on each.

What are the best alternatives to singlercapture?

Top singlercapture alternatives in Analytics are ranked by recent ship velocity. Browse the "singlercapture alternatives" section above for the current picks, or visit /alternatives/singlercapture for the full list with editorial commentary on each.